4D TECH SOLUTIONS, LLC — National Aeronautics and Space Administration SBIR Phase I: A1.06

Description

This project intends to design and develop an Intelligent Electronic Speed Controller (IESC) for use on Unmanned Aerial Vehicles (UAVs). The IESC will advance the state-of-the-art of health-state awareness. This will be achieved through the integration of propulsion system health monitoring sensors that - in unison with an Intelligent Rule Set - will be able to monitor system and component performance trends and predict propulsion system faults. The system is designed to provide the analytic capability necessary to predict propulsion system degradation, maintenance or repair needs. An Artificial Neural Network (ANN) will be trained on data from IESC sensors from nominal flights and those with known faults leading to failure. After training, an initial Intelligent Rule Set will be extracted to represent the knowledge of the ANN and used in the system to predict failures. This set of rules will be periodically updated as more flight data is collected.